What Piketty Left Out of His Inequality Argument

Reigning celebrity economist Thomas Piketty first gained attention in the U.S. through his income concentration trend estimates. Piketty, an economist at the Paris School of Economics and author of the best-seller Capital in the Twenty-First Century, collaborated with University of California-Berkeley economist Emmanuel Saez to produce the figures, which go back one hundred years. Along with Piketty’s book, the Piketty-Saez research represents a great achievement in data collection and compilation.

Prior to the publication of their figures in the early 2000s, only scattered attempts to analyze trends in income concentration existed; none of them took the data as far back as Piketty and Saez did or as far forward. Piketty and Saez improved on the basic methods used by their predecessors, and they provided a multitude of trends in a spreadsheet that continues to be updated and made available to the public.

However, while their estimates are potentially the best that can be made given the scope of their project, as indicators of the run-up in income concentration since the 1970s, they have a number of potential problems. In a previous essay, I described how their estimates are affected by a number of measurement and conceptual issues. Their figures are for “tax units” rather than households. They do not include government benefits or employer-provided health insurance, and they look at pre-tax income. In other words, they do not account for the main ways in which we mitigate income concentration via public policy.

These issues overstate income concentration levels and even exaggerate the increase over time. Finally, the difficulties involved in measuring capital gains and losses that accrue to assets potentially overstate the increase in income concentration dramatically. Capital gains show up in the Piketty-Saez data as giant lumps of income accruing to the top one percent when asset markets are booming, but that obscures the slower and steadier accumulation of gains over time (and nearly all of the gains to middle-class households, which do not appear in the tax data).

Given the problems with estimating capital gains, it is worth considering whether there might be other income concentration measures that do not require grappling with these conceptual and measurement problems. Since capital gains accrue mainly to the top, looking at income concentration measures that fail to take them into account will understate the level of income concentration in America. However, the trends might not necessarily be affected.